Compressive sampling of EEG signals with finite rate of innovation

Compressive sampling of EEG signals with finite rate of innovation

10.1155/2010/183105

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Bibliographic Details
Main Authors: Poh, K.-K, Marziliano, P
Other Authors: MEDICINE
Format: Article
Published: Hindawi 2020
Subjects:
Compression methods
Compression scheme
Compressive sampling
Computational resources
EEG signals
Electroencephalographic signals
Finite rate
Fourier coefficients
Long-term recording
Metrices
Nyquist rate
Original signal
Reconstruction error
Sampling devices
Sampling theory
Wavelet compression
Quality assurance
Redundancy
Signal reconstruction
Signal processing
Online Access:https://scholarbank.nus.edu.sg/handle/10635/178204
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Institution: National University of Singapore

Internet

https://scholarbank.nus.edu.sg/handle/10635/178204

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